FGKA: a Fast Genetic K-means Clustering Algorithm

Abstract

In this paper, we propose a new clustering algorithm called <i>Fast Genetic K-means Algorithm (FGKA)</i>. FGKA is inspired by the Genetic K-means Algorithm (GKA) proposed by Krishna and Murty in 1999 but features several improvements over GKA. Our experiments indicate that, while K-means algorithm might converge to a local optimum, both FGKA and GKA always converge to the global optimum eventually but FGKA runs much faster than GKA.

DOI: 10.1145/967900.968029

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@inproceedings{Lu2004FGKAAF, title={FGKA: a Fast Genetic K-means Clustering Algorithm}, author={Yi Lu and Shiyong Lu and Farshad Fotouhi and Youping Deng and Susan J. Brown}, booktitle={SAC}, year={2004} }